M
Matteo Tiberti
Researcher at University of Milano-Bicocca
Publications - 44
Citations - 940
Matteo Tiberti is an academic researcher from University of Milano-Bicocca. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 16, co-authored 30 publications receiving 720 citations. Previous affiliations of Matteo Tiberti include University of Milan & Queen Mary University of London.
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PyInteraph: A Framework for the Analysis of Interaction Networks in Structural Ensembles of Proteins
Matteo Tiberti,Gaetano Invernizzi,Matteo Lambrughi,Yuval Inbar,Gideon Schreiber,Elena Papaleo +5 more
TL;DR: PyInteraph is a software suite designed to analyze MD and structural ensembles with attention to binary interactions between residues, such as hydrogen bonds, salt bridges, and hydrophobic interactions and allows the different classes of intra- and intermolecular interactions to be represented, combined or alone, in the form of interaction graphs.
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ENCORE: Software for Quantitative Ensemble Comparison
TL;DR: An easily accessible software toolkit, called ENCORE, which can be used to compare conformational ensembles generated either from simulations alone or synergistically with experiments, and demonstrates efficient computational scaling for typical analyses, and robustness against both the size and sampling of the ensemble.
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xPyder: a PyMOL plugin to analyze coupled residues and their networks in protein structures.
TL;DR: XPyder as mentioned in this paper is an interface between one of the most employed molecular graphics systems, PyMOL, and the analysis of dynamical cross-correlation matrices (DCCM).
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Dynamic properties of extremophilic subtilisin-like serine-proteases
Matteo Tiberti,Elena Papaleo +1 more
TL;DR: This work presents a comparative study of psychrophilic, mesophilic and thermophilic subtilisin-like serine proteases by all-atom molecular dynamics simulations in explicit solvent using a multiple-replica approach and points out a different optimization and usage of salt-bridge interactions and networks in cold- and warm-adapted enzymes.
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Disclosure of key stereoelectronic factors for efficient H2 binding and cleavage in the active site of [NiFe]-hydrogenases.
TL;DR: It turned out that a two-step pathway, where H2 cleavage takes place on the Ni-SIa redox state of the enzyme, is characterized by very low reaction barriers and favorable reaction energies, and the seesaw coordination geometry of Ni was found to be a key feature for facile H2 Cleavage.